南方医科大学学报2015，Vol.35Issue(8)：1215-1218,4.
检测藻类16SrDNA特异性片段在溺死诊断中的应用
Value of specific 16S rDNA fragment of algae in diagnosis of drowning: an experiment with rabbits
摘要
Abstract
Objective To establish a method for amplifying specific 16S rDNA fragment of algae related with drowning and test its value in drowning diagnosis. Methods Thirty-five rabbits were randomly divided into 3 the drowning group (n=15), postmortem water immersion group (n=15, subjected to air embolism before seawater immersion), and control group(n=5, with air embolism only). Twenty samples of the liver tissues from human corpses found in water were also used, including 14 diatom-positive and 6 diatom-negative samples identified by microwave digestion-vacuum filtration-automated scanning electron microscopy (MD-VF-Auto SEM). Seven known species of algae served as the control algae (Melosira sp, Nitzschia sp, Synedra sp, Navicula sp, Microcystis sp, Cyclotella meneghiniana, and Chlorella sp). The total DNA was extracted from the tissues and algae to amplify the specific fragment of algae followed by 8% polyacrylamide gelelectrophoresis and sliver-staining. Results In the drowning group, algae was detected in the lungs (100%), liver (86%), and kidney (86%);algae was detected in the lungs in 2 rabbits in the postmortem group (13%) and none in the control group. The positivity rates of algae were significantly higher in the drowning group than in the postmortem group (P<0.05). Of the 20 tissue samples from human corps found in water, 15 were found positive for algae, including sample that had been identified as diatom-negative by MD-VF-Auto SEM. All the 7 control algae samples yielded positive results in PCR. Conclusion The PCR-based method has a high sensitivity in algae detection for drowning diagnosis and allows simultaneous detection of multiple algae species related with drowning.关键词
法医病理学/溺死/16SrDNA/藻类检验Key words
forensic pathology/drowning/16S rDNA/algae引用本文复制引用
李鹏,徐曲毅,陈玲,刘超,赵建,王玉仲,余政梁,胡孙林,王慧君..检测藻类16SrDNA特异性片段在溺死诊断中的应用[J].南方医科大学学报,2015,35(8):1215-1218,4.基金项目
公安部科技强警基础工作专项项目(2014GABJC020) （2014GABJC020）
